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Autonomous Intelligent Planning Method for Welding Path of Complex Ship Components

Published online by Cambridge University Press:  18 June 2020

Tao Wang Open the ORCID record for Tao Wang [Opens in a new window] ,
Zhilong Xue ,
Xiaoqing Dong  and
Senlin Xie
Tao Wang
Affiliation:
School of Automation, Guangdong University of Technology, Guanzhou510006, China. E-mails: wangtao_cps@gdut.edu.cn, 791396753@QQ.com
Zhilong Xue
Affiliation:
School of Automation, Guangdong University of Technology, Guanzhou510006, China. E-mails: wangtao_cps@gdut.edu.cn, 791396753@QQ.com
Xiaoqing Dong
Affiliation:
School of Automation, Guangdong University of Technology, Guanzhou510006, China. E-mails: wangtao_cps@gdut.edu.cn, 791396753@QQ.com
Senlin Xie*
Affiliation:
School of Automation, Guangdong University of Technology, Guanzhou510006, China. E-mails: wangtao_cps@gdut.edu.cn, 791396753@QQ.com
*
*Corresponding author. E-mail: senlinxie@163.com
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Summary

Aiming at planning the welding path of complex ship components, a welding path planning optimization model was constructed with the shortest welding path and using the target and the welding process and welding starting and ending points as constraints. Based on the model, an improved ant colony algorithm with dynamic adaptive parameters was proposed to complete the path planning work. Simulation results showed that, compared with other classical optimization algorithms, the proposed algorithm improved optimization speed while ensuring optimization effect and achieving better results in path planning of complex ship components.

Keywords

Ship weldingComplex componentsPath planningImproved ant colony algorithm
Type
Articles
Information
Robotica , Volume 39 , Issue 3 , March 2021 , pp. 428 - 437
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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